Evidence map›Paper›PMID 34764277›Full record

ArticleNature communications2021

Introns control stochastic allele expression bias.

Bryan Sands, Soo Yun, Alexander R Mendenhall

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Bryan SandsDepartment of Laboratory Medicine and Pathology, School of Medicine, University of Washington, Seattle, WA, USA.
Soo YunDepartment of Laboratory Medicine and Pathology, School of Medicine, University of Washington, Seattle, WA, USA.
Alexander R MendenhallDepartment of Laboratory Medicine and Pathology, School of Medicine, University of Washington, Seattle, WA, USA. alexworm@uw.edu.ORCID http://orcid.org/0000-0002-4716-7671

Funding

XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI Nicole Ann Errett · 1995 to 2026
$42.5M
Understanding the antagonistic role of proteostasis in Alzheimer disease and cancer.R01CA219460 · NCI · UNIVERSITY OF WASHINGTON · PI MENDENHALL, ALEXANDER RICHARD · 2018 to 2022
$2.2M
Causes and consequences of lifespan biomarker variation in Caenorhabditis elegansR00AG045341 · NIA · UNIVERSITY OF WASHINGTON · PI MENDENHALL, ALEXANDER RICHARD · 2016 to 2018
$747k
NCI NIH HHS R01 CA219460NIA NIH HHS R00 AG045341NIEHS NIH HHS P30 ES007033
6 · The paper itself

Abstract

Monoallelic expression (MAE) or extreme allele bias can account for incomplete penetrance, missing heritability and non-Mendelian diseases. In cancer, MAE is associated with shorter patient survival times and higher tumor grade. Prior studies showed that stochastic MAE is caused by stochastic epigenetic silencing, in a gene and tissue-specific manner. Here, we used C. elegans to study stochastic MAE in vivo. We found allele bias/MAE to be widespread within C. elegans tissues, presenting as a continuum from fully biallelic to MAE. We discovered that the presence of introns within alleles robustly decreases MAE. We determined that introns control MAE at distinct loci, in distinct cell types, with distinct promoters, and within distinct coding sequences, using a 5'-intron position-dependent mechanism. Bioinformatic analysis showed human intronless genes are significantly enriched for MAE. Our experimental evidence demonstrates a role for introns in regulating MAE, possibly explaining why some mutations within introns result in disease.

Indexed as

AllelesAnimalsCaenorhabditis elegansIntronsMutation

Identifiers

PMID34764277
PMCPMC8585970

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.